Improving Node-Level MapReduce Performance Using Processing-in-Memory Technologies. - Mahzabeen Islam; Marko Scrbak; Krishna M. Kavi; Mike Ignatowski; Nuwan Jayasena (Euro-Par Workshops (2), 2014)

Processing-in-Memory: Exploring the Design Space. - Marko Scrbak; Mahzabeen Islam; Krishna M. Kavi; Mike Ignatowski; Nuwan Jayasena (ARCS, 2015)

Prefetching as a Potentially Effective Technique for Hybrid Memory Optimization. - Mahzabeen Islam; Soumik Banerjee; Mitesh R. Meswani; Krishna M. Kavi (MEMSYS, 2016)

HBM-Resident Prefetching for Heterogeneous Memory System. - Mahzabeen Islam; Krishna M. Kavi; Mitesh R. Meswani; Soumik Banerjee; Nuwan Jayasena (ARCS, 2017)

Exploring the Processing-in-Memory design space. - Marko Scrbak; Mahzabeen Islam; Krishna M. Kavi; Mike Ignatowski; Nuwan Jayasena (J. Syst. Archit., 2017)

On-the-fly Page Migration and Address Reconciliation for Heterogeneous Memory Systems. - Mahzabeen Islam; Shashank Adavally; Marko Scrbak; Krishna Kavi (ACM J. Emerg. Technol. Comput. Syst., 2020)

Dynamically Adapting Page Migration Policies Based on Applications' Memory Access Behaviors. - Shashank Adavally; Mahzabeen Islam; Krishna Kavi (ACM J. Emerg. Technol. Comput. Syst., 2021)

Tale of Two Cs: Computation vs. Communication Scaling for Future Transformers on Future Hardware. - Suchita Pati; Shaizeen Aga; Mahzabeen Islam; Nuwan Jayasena; Matthew D. Sinclair (IISWC, 2023)

A Research Retrospective on AMD's Exascale Computing Journey. - Gabriel H. Loh; Michael J. Schulte; Mike Ignatowski; Vignesh Adhinarayanan; Shaizeen Aga; Derrick Aguren; Varun Agrawal; Ashwin M. Aji; Johnathan Alsop; Paul T. Bauman; Bradford M. Beckmann; Majed Valad Beigi; et al. (ISCA, 2023)

Computation vs. Communication Scaling for Future Transformers on Future Hardware. - Suchita Pati; Shaizeen Aga; Mahzabeen Islam; Nuwan Jayasena; Matthew D. Sinclair (CoRR, 2023)

Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures. - Johnathan Alsop; Shaizeen Aga; Mohamed Assem Ibrahim; Mahzabeen Islam; Andrew McCrabb; Nuwan Jayasena (CoRR, 2023)

Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (CoRR, 2023)

T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. - Suchita Pati; Shaizeen Aga; Mahzabeen Islam; Nuwan Jayasena; Matthew D. Sinclair (ASPLOS (2), 2024)

PIM-Potential: Broadening the Acceleration Reach of PIM Architectures. - Johnathan Alsop; Shaizeen Aga; Mohamed Assem Ibrahim; Mahzabeen Islam; Nuwan Jayasena; Andrew McCrabb (MEMSYS, 2024)

JIT-Q: Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (MLSys, 2024)

PIMnast: Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. - Mohamed Assem Ibrahim; Mahzabeen Islam; Shaizeen Aga (SC Workshops, 2024)

Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. - Mohamed Assem Ibrahim; Mahzabeen Islam; Shaizeen Aga (CoRR, 2024)

Optimizing ML Concurrent Computation and Communication with GPU DMA Engines. - Anirudha Agrawal; Shaizeen Aga; Suchita Pati; Mahzabeen Islam (CoRR, 2024)

ConCCL: Optimizing ML Concurrent Computation and Communication with GPU DMA Engines. - Anirudha Agrawal; Shaizeen Aga; Suchita Pati; Mahzabeen Islam (ISPASS, 2025)